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repeated measures

235 papers and 1 presentation; 222 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation Jingbo Zhu,
Jiehan Zhang		 source 17
PHUSE US 2026 Framework for Incorporating Estimands within the Statistical Analysis Plan Inderjeet Arora source
presentation source		 9
PHUSE EU 2025 GLMM and GEE for Categorical Repeated Measures - Linking SAS and R Miriam Amor source
presentation source		 16
PharmaSUG 2025 Practical considerations for Intercurrent Events and Multiple Imputation David Bushnell source 6
PHUSE EU 2024 Streamlining Complex Analysis: An SAS Macro for Marginal Structural Modelling Amine Khemiri source
presentation source		 6
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG 2023 The Interview Process: An Autistic Perspective Laura Needleman source 7
PHUSE US 2021 Challenges and Solutions in SDTM Implementation and Programming of the Ophthalmic Examinations (OE) Domain [presentation] Shivam Kumar,
Vinita Dora		 source
video		 16
PharmaSUG 2021 SAS Proc Mixed: A Statistical Programmer-s Best Friend in QoL Analyses Janaki Devi Manthena,
Varsha Korrapati,
Chiyu Zhang		 source 9
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
SGF 2020 From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant AnnMaria De Mars source 20
SGF 2020 Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure L. Grisell Diaz-Ramirez,
Bocheng Jing		 source 10
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
SGF 2020 Time After Time: D-I-D and ITS Models in SAS Margaret Warton source 21
PHUSE EU 2019 Mixed Model Repeated Measures (MMRMs) Mrudula Suryawanshi source
presentation source		 19
MWSUG 2019 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes 22
PharmaSUG 2019 PROC MIXED: Calculate Correlation Coefficients in the Presence of Repeated Measurements Qinlei Huang,
Radha Railkar		 source 16
SGF 2019 Introduction to Nonlinear Mixed-Effects Models of Longitudinal Data Shelley A. Blozis source 6
PHUSE EU 2018 Collinearity in Mixed Models John Hendrickx source
presentation source		 11
MWSUG 2018 Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt		 20
WUSS 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
WUSS 2018 Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS Margaret Warton,
Melissa Parker		 source 17
WUSS 2018 When the Mean Isn't Enough: Methods for Assessing Individual Differences using SAS Melissa McTernan source 8
PHUSE US 2018 A Statistics-based Tool to Inform Risk-based Monitoring Approaches Laura Williams,
Giulia Zardi		 source
presentation source		 8
PharmaSUG 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 23
PharmaSUG 2018 Manipulating Statistical and Other Procedure Output to Get the Results That You Need Vincent DelGobbo source 37
PharmaSUG 2018 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 26
SGF 2018 Estimation of Correlation Coefficient in Data with Repeated Measures Katherine Irimata,
Paul Wakim,
Xiaobai Li		 source 19
SGF 2018 Manipulating Statistical and Other Procedure Output to Get the Results That You Need Vincent DelGobbo source 37
SESUG 2017 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
SESUG 2017 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 25
PHUSE EU 2017 How to Fit Longitudinal Data with Proc MCMC Maud Henion source
presentation source		 16
WUSS 2017 Modeling Longitudinal and Multilevel Data in SAS Niloofar Ramezani source 8
WUSS 2017 Pinching Off Your SAS Log: Shifting the Perception of "SAS Logs" from a Post Hoc Validation Used Haplessly and Often Too Late...to a Dynamic Quality Control That Drives Exception Handling and Program Flow Troy Martin Hughes source 26
WUSS 2017 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 12
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 Fitting a Flexible Model for Longitudinal Count Data Using the NLMIXED Procedure Darcy Morris source 6
SESUG 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
PHUSE EU 2016 Multiplicity Issues in Clinical Trials - Look at it with a Magnifying Glass! Madhusudhan Bandi source
presentation source		 6
PHUSE EU 2016 Standard Methods for Analysis and Reporting of VAS or NRS Derived Pain Relief Response Scores James R. Johnson source
presentation source		 14
MWSUG 2016 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li 13
WUSS 2016 Handling longitudinal data from multiple sources: experience with analyzing kidney disease patients Elani Streja,
UC Irvine,
Melissa Soohoo		 source 6
WUSS 2016 How D-I-D you do that? Basic Difference-in-Differences Models in SAS Margaret Warton,
Melissa Parker,
Andrew Karter		 source 11
WUSS 2016 How to analyze correlated and longitudinal data? Niloofar Ramezani source 8
PharmaSUG 2016 Novel Programming Methods for Change from Baseline Calculations Mina Chen,
Peter W. Eberhardt		 source 7
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2016 Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions Niloofar Ramezani source 16
SGF 2016 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Phil Gibbs source 21
MWSUG 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Jill Tao,
Kathleen Kiernan,
Phil Gibbs		 18
MWSUG 2015 How to Build a Hierarchical Mixed Model in SAS Sara Burns,
Amit Amin,
Eric Novak		 8
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
WUSS 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Phil Gibbs,
Jill Tao,
Kathleen Kiernan		 source 18
WUSS 2015 Pattern-Mixture Random-Effects Models for Non-Ignorable Missing Data in Longitudinal Studies Shelley A. Blozis,
Ricardo Villarreal		 source 3
PharmaSUG 2015 Missing Data For Repeated Measures: Single Imputation VS Multiple Imputation Giulia Tonini,
Simona Scartoni,
Camilla Paoli,
Andrea Nizzardo,
Angela Capriati		 source 10
SGF 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Kathleen Kiernan source 18
SGF 2015 Permit Me to Permute: A Basic Introduction to Permutation Tests with SAS/IML Software John Vickery source 15
MWSUG 2014 Understanding Change through Different Methodological Lens Jie Liao 12
WUSS 2014 Big Data in a Small Trial: Visual and Statistical Analyses in an N-of-1 Clinical Trial Marie Boman-Davis source 6
PharmaSUG 2014 A Parameterized SAS Macro to Select an Appropriate Covariance Structure in Repeated Measures Data Analysis Using PROC MIXED Leela Aertker,
Paul Nguyen,
Charity Quick		 source 3
PharmaSUG 2014 Quickly Organize Statistical Output for Review Bradford J. Danner source 4
SGF 2014 A SAS Macro to Diagnose Influential Subjects in Longitudinal Studies Grant Schneider,
Randy Tobias		 source
zip		 18
SGF 2014 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Genine L. Blue		 source 19
SGF 2014 Comparison of Five Analytic Techniques for Two-Group, Pre-Post Repeated Measures Designs Using SAS J. Madison Hyer,
Jennifer L. Waller		 source 8
SGF 2014 Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure Rob Agnelli source 17
SGF 2014 Plotting Differences Among LS-means in Generalized Linear Models Robin High source 14
SGF 2014 Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure John M. Castelloe source 20
WUSS 2013 Repeated Measures ANCOVA with the MIXED and GLM Procedures: Examining an Intervention to Reduce Childhood Obesity Lauren Cook,
Jaimie N. Davis,
Donna Spruijt-Metz,
Nicole Gatto		 source 6
WUSS 2013 Using PROC NLMIXED to Fit Correlated Residual Error Structures in Nonlinear Mixed Models Shelley A. Blozis,
Jeffrey Harring		 source 5
SESUG 2013 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Phillip R. Sherlock,
Genine L. Blue		 source 13
SESUG 2013 Averaging Numerous Repeated Measures in SAS Using DO LOOPS and MACROS: A Demonstration Using Dietary Recall Data Kendra Jones,
Kyla Shelton		 source 6
PHUSE EU 2013 Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis Imgard Hollweck source
presentation source		 9
SGF 2013 Calculating Subset-Weighted Analysis in PROC SURVEYFREQ and PROC GENMOD David M. Thompson,
Jessica Hale,
Paul Darden		 source
pdf		 7
SESUG 2012 A SAS macro to compute effect size (Cohen's d) and its confidence interval from raw survey data Rajendra P source 12
SESUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
MWSUG 2012 Survival of the Milkman - How Modern Analytics is Helping an Old Fashioned Business Thrive Bruce Bedford 13
MWSUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 18
WUSS 2012 Analysis of Dietary Patterns over Freshman Year of College Chelsea Lofland source 8
WUSS 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 12
PharmaSUG 2012 Pattern-Mixture Models as Linear Combinations of Least Squares Means from MMRM with Delta Method Variance Estimation Bohdana Ratitch,
Michael O'Kelly		 source 15
PharmaSUG 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 13
SGF 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 13
SGF 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
SCSUG 2011 Statistical comparison of relative proportions of bacterial genetic sequences Jose F Garcia-Mazcorro source 19
WUSS 2011 Estimating Disease Prevalence from Clinical Data Using Capture-Recapture Carol Conell source 10
WUSS 2011 Using PROC SQL to Calculate FIRSTOBS David Tabano source 11
MWSUG 2011 A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke		 20
SGF 2011 Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan		 source 10
WUSS 2010 Data Visualization: "Every Picture Tells a Story" or "Putting Atomic Numbers on Your Socks"? AnnMaria De Mars source 11
PharmaSUG 2010 Linear Mixed Models in Clinical Trials using PROC MIXED Danyang Bing,
Xiaomin He		 12
SGF 2010 Building Latent Growth Models Using PROC CALIS: A Structural Equation Modeling Approach Teck Kiang Tan,
Trivina Kang,
David Hogan		 source 19
SESUG 2009 Using SAS to Explain Mediator and Moderator Effect for Social Support of Mothers of Mentally Ill Children Abbas S. Tavakoli source 13
MWSUG 2009 Mixed Model Selection George C. J. Fernandez 19
WUSS 2009 A Beginner's Example of PROC MIXED for the Analysis of Letter Identification Using Reaction Time Sarah R. Greene source 4
SGF 2009 A SAS Macro for Adaptive Regression Modeling George J. Knafl source 9
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Designing Experiments for the Process George A. Milliken source 27
WUSS 2008 User-friendly SAS Macro Application for performing all possible mixed model selection - An update George C. J. Fernandez source 19
NESUG 2008 Understanding Why Physicians Choose A Certain Drug When Treating A Patient - What Product Attributes Matter Most Marc States 5
NESUG 2007 Using Macro and ODS to Overcome Limitations of SAS Procedures Wei (Lisa) Lin,
Jing Su		 7
PNWSUG 2007 An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 Robin High 17
PharmaSUG 2007 Effects of Multicollinearity in All Possible Mixed Model Selection George C. J. Fernandez 18
PharmaSUG 2007 Growing Growth Curves Using PROC MIXED and PROC NLMIXED Jeffrey M. Gossett,
Pippa Simpson,
Patrick Casey,
Leanne Whiteside-Mansell,
Robert Bradley,
Chan-Hee Jo		 10
PharmaSUG 2007 The Analysis System: How a Research Team Can Organize and Analyze Multiple Datasets with Multiple Outcomes Measured Multiple Times Kathryn Benton,
Diane Fairclough,
Brenda Beaty		 6
SGF 2007 Model Selection in PROC MIXED-A User-Friendly SAS Macro Application George C. J. Fernandez source 20
SGF 2007 Repeated Measures Analysis with Clustered Subjects Ramon C. Littell source 11
SGF 2007 Using SAS PROC NLMIXED for Robust Regression Steven A. Chen,
Lingyun Gilbert		 source 9
SGF 2007 Using SAS to Process Repeated Measures Data - A Hands-On Approach Terry Gareleck,
Cyndie B. Fain		 source 12
MWSUG 2006 All Possible Model Selection in Proc Mixed - A SAS macro application George C. J. Fernandez 19
WUSS 2006 Examples of Data Manipulation in SAS: Filling in "Known" Missing Data Chong Ho Yu source 5
WUSS 2006 Model Selection Methods in PROC MIXED George C. J. Fernandez source 19
WUSS 2006 PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS Tyler C. Smith,
Besa Smith		 source 14
WUSS 2006 The Basics of Structural Equation Modeling Diana D. Suhr source 19
PharmaSUG 2006 A SAS Macro to Find the Best Fitted Model for Repeated Measures Using PROC MIXED Jingjing Wang 8
PharmaSUG 2006 Analyzing Ordinal Repeated Measures Data Using SAS Bin Yang 8
PharmaSUG 2006 From GLM to GLIMMIX-Which Model to Choose? Patricia B. Cerrito 7
SUGI 2006 %hlmdata and %hlmrmpower: Traditional Repeated Measures vs. HLM for Multilevel Longitudinal Data Analysis?Power and Type I Error Rate Comparison Hua Fang source 11
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
SUGI 2006 Using SAS to Process Repeated Measures Data Terry Fain,
Cyndie B. Gareleck		 source 11
SESUG 2005 Using SAS to Process Repeated Measures Data Terry Fain source 10
WUSS 2005 Using Proc Mixed to Model Daytime Log-Cortisol Slopes Eric Neri,
Helena Chmura Kraemer,
Arthur M. Noda,
Yung Wang		 source 4
SUGI 2005 Analyzing Incomplete Binary Repeated Measures Data Using SAS Bin Yang source 8
SUGI 2005 Guidelines for Selecting the Covariance Structure in Mixed Model Analysis Charles D. Kincaid source 8
SUGI 2005 Testing the Hypothesis of a Kroneckar Product Covariance Matrix in Multivariate Repeated Measures Data Anuradha Roy,
Ravindra Khattree		 source 11
SUGI 2005 Using SAS to Process Repeated Measures Data Terry Fain,
Cyndie B. Gareleck		 source 10
SESUG 2004 A Simulation Study to Evaluate ANOVA and GEE for Comparing Correlated Proportions with Missing Values Mark S. Litaker source 6
WUSS 2004 Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output Myungshin Oh,
Mel Widawski		 source 9
WUSS 2004 PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji		 source 14
PharmaSUG 2004 Making Model Selection in Linear Mixed-Effects Models An Easy Process: A SAS Macro Procedure Henry Cheng,
Yuli Xie,
Elizabeth Reinbolt		 4
PharmaSUG 2004 Traditional Repeated Measures Analysis Versus Random Coefficients Models Using PROC MIXED Radhi Abdulnabi 9
SUGI 2004 On the Use of PROC MIXED to Estimate Correlation in the Presence of Repeated Measures Anthony C. Hamlett,
Louise Ryan,
Russell D. Wolfinger		 source 8
SUGI 2004 Repeated Measures Modeling with PROC MIXED E. Barry Moser source 20
SUGI 2004 Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events Gary G. Koch,
Maura E. Stokes		 source 21
WUSS 2003 Answering Your Questions with Statistics Diana D. Suhr source 6
SESUG 2003 Comparison of PROC MIXED and PROC GLM for Analysis of Repeated Measures Data Hossein N. Yarandi source 6
PharmaSUG 2003 A SAS Macro to Automate The Covariance Structure Determination in Repeated Measures Data Analysis with Mixed Procedure Don (Dongguang) Li 4
PharmaSUG 2003 Using Model Fitting Information and PROC PLOT to Select the Type of Variance-Covariance Structure for Repeated Measures Radhi Abdulnabi 8
SUGI 2003 An Introduction to the Analysis of Mixed Models Dallas E. Johnson source 4
SUGI 2003 Multilevel Designs and Their Analyses George A. Milliken source
MWSUG 2002 Random, Repeated or Both? Analyzing a Repeated Measures Design using PROC MIXED Keith Dunnigan 7
MWSUG 2002 Using Model Fitting Information and PROC PLOT to Select the Type of Varianc-Covariance Structur Radhi Abdulnabi 7
PharmaSUG 2002 Imputation of Longitudinal Incomplete Data in Clinical Trials Naum M. Khutoryansky 4
MWSUG 2001 Using The SAS Mixed Procedure to Analyze the Repeated Measures Data Hongsen Zhou 9
WUSS 2001 Data Analysis on the Components of Multimedia Courseware Design Leping Liu source 6
WUSS 2001 PROC GLM or PROC CALIS? Diana D. Suhr source 5
SCSUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe,
Ralph G. O'Brien		 13
PharmaSUG 2001 The Basics of ODS and Templates for Data Analysis Sandy McNeill 20
SUGI 2001 Approximations to Distributions of Test Statistics in Complex Mixed Linear Models Using SAS PROC MIXED G. Bruce Schaalje source 6
SUGI 2001 PROC GLM or PROC CALIS? Diana D. Suhr source 3
SCSUG 2000 Multi-Level Intervention Study Data and PROC MIXED Tom Bohman 13
SCSUG 2000 Repeated-Measures Analysis and PROC MIXED Shana Smith,
Torsten B. Neilands		 17
WUSS 2000 A Repeated Measurement of Analyzing the Qualities of Information from Different Web Sources Leping Liu,
George C. J. Fernandez		 source 6
SUGI 2000 Mixed-Up Mixed Models: Things That Look Like They Should Work But Don't, and Things That Look Like They Shouldn't Work But Do Robert M. Hamer,
Pippa M. Simpson		 source 8
SESUG 1999 Analysis of Longitudinal Data: Comparison between PROC GLM and PROC MIXED Maribeth H. Johnson source 6
MWSUG 1999 Longitudinal Data Analysis Repeated-Measure ANOVA and Mixed Models Nancy E. Briggs,
Ching-Fan Sheu		 6
SUGI 1999 Simplification on Learning Model by Using PROC GENMOD Kuolung Hu,
David Mckinzie,
Karen Nowak		 source 6
MWSUG 1998 Using PROC MIXED To Analyze a Repeated Measures Design Keith Dunnigan 6
SESUG 1998 Software for GEE: PROC GENMOD and SUDAAN Babubhai V. Shah 5
SEUGI 1998 GLM and MIXED procedures to treat longitudinal data Sandrine Laguerre source 9
PharmaSUG 1998 Interpretation of statistical analysis for repeated measures Armand Rostami 3
SUGI 1998 An Introduction to the Analysis of Repeated Measures for Continuous Response Data using PROC GLM and PROC MIXED Robert M. Hamer,
Pippa M. Simpson		 source 4
SUGI 1998 Multivariate Analysis Using the MIXED Procedure S. Paul Wright source 5
SUGI 1998 Using a SAS Macro to Create Unique Statistical Output Sean W. Mulvenon,
M. Austin		 source 6
WUSS 1997 Repeated Measures Analysis on Preservice Teachers' Attitudes Towards the Subjects Taught in School Leping Liu,
George C. J. Fernandez		 source 6
WUSS 1997 Testing Homogeneity of Variance Shuqiang Zhang source 4
MWSUG 1997 Using SAS/STAT to Analyze Correlated Data Marlene Goormastic 7
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
SUGI 1997 Model Selection in Linear Mixed Effects Models Using SAS PROC MIXED Long Ngo,
Richard Brand		 source 6
SUGI 1997 SAS/INSIGHT Software or JMP Software: A Comparison Andy Mauromoustakos source 3
SUGI 1997 Use of PROC MIXED in the Analysis of Repeated Measures Data from a Clinical Trial in Obsessive Compulsive Disorder William Bushnell,
Martin Steiner		 source 6
WUSS 1996 Repeated Measures Analysis with the SAS System Kathleen Kierman source 10
SUGI 1996 Imputation of Data Missing Due to Truncation --- A SAS Macro for Maximum Likelihood Estimates Using Symmetry Property Zhengyu Wang,
ViswanaThan Ramakrishnan,
John M. Davis		 source 6
SUGI 1996 Repeated Measures - A Better way? Edith Flaster source 10
MWSUG 1995 Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor Michelle Secic 6
NESUG 1995 Practical Consdierations in Estimating Linear Dose Response From A Phase I/II Titration Study With Subjects As Random Effects Virginia Fitzpatrick,
Ruth Swithenbank		 7
WUSS 1995 The Effects on Learning Efficiency and Accuracy of Easy-to-Difficult Practice on the Tower of Hanoi Problem-Solving Task Diana D. Suhr,
Gypsy Denzine,
Stuart Garry,
Peggy Lane		 source 8
SUGI 1995 Adjusted F-Tests for Repeated Measures with the MIXED Procedure S. Paul Wright source 6
SUGI 1995 Comparing the SAS GLM and MIXED Procedures for Repeated Measures Ming Chang,
Russell D. Wolfinger		 source 11
SUGI 1995 Conducting Linear Growth Curve Analysis with the SAS System Laura Ichikawa,
William E. Barlow		 source 6
WUSS 1994 Examination of the Importance of Root Hairs in Plant Water-Use Studies by Repeated Measures Analysis Carolyn K. Yoder source 4
NESUG 1994 Statistical Methods for Assessing the Safety of Products Evaluated in Human Clinical Trials John Sourby 8
SUGI 1994 Mixed Model Analysis of Data: Transition from GLM to MIXED Ramon C. Littell source 8
SUGI 1994 Using SAS Software to Check Assumptions for Analysis of Covariance, Including Repeated Measures Designs Richard P. Steiner,
N. Margaret Wineman		 source 5
MWSUG 1993 Analysis of Incomplete Categorical Repeated Measures Charles S. Davis 6
SEUGI 1993 A New Look at the Facilities in PROC MIXED James L. Roger source 12
SEUGI 1993 EEG Multi-variate Traces Analysed Using PROC MIXED Tracy Parker source 10
SEUGI 1993 The Analysis of Repeated Measures Designs Using the SAS System Alun Bedding source 9
SUGI 1993 A Model for Multivariate Repeated Measures with Missing Data Richard R. Allen source 5
SESUG 1993 Repeated Measures Using PROC MIXED Instead of PROC GLM James H. Roger,
Michael Kenward		 10
SCSUG 1992 Testing the Additivity Assumption in Repeated Measures Robert J. Zambarano 11
MWSUG 1992 Using SAS Macro Facilities to Simplify A Large Multi-Event Statistical Analysis Douglas P. DeYoung 6
SEUGI 1992 SAS Macros for Exact Methods in Nonparametrical Statistics Thomas Bregenzer source 12
SUGI 1992 A SAS Macro for Performing Analyses of Random Effect Models of Longitudinal Data Using the IML Procedure Greg A. Grandits,
Patricia Grambsch,
Thomas Louis		 source 6
SUGI 1992 Analysis of Incomplete Categorical Repeated Measures Charles S. Davis source 6
SUGI 1992 Determination of Response Surface Function Using Repeated Measures Denise M. Moyse,
David Henry,
Hong-Jiong Shi,
Robert S. Boger,
Clement Maurath		 source 6
SUGI 1992 Using SAS Software to Evaluate the Power of Alternative Data Analytic Methods for Repeated Measures Designs Thomas C. Chenier source 6
SUGI 1992 Using the GLM Procedure to Analyze Multivariate Response in Crossover Designs Julie Myers Grender,
William D. Johnson		 source 6
SCSUG 1991 Analyzing Repeated Measures Designs: What You Don't Know CAN Hurt You Richard W. Cole 12
SUGI 1991 A SAS Macro for the Robust Analysis of Repeated Measures Data Joe DiGennaro,
William J. Huster		 source 6
SUGI 1991 Interaction Contrasts in Repeated Measures Designs John F. Walsh source 4
SUGI 1990 ANALYSIS OF COVARIANCE: REPEATED IfEASURES AND SPLIT-Plur DESIGNS George A. Milliken source 10
SUGI 1990 Analysis of Covariance: Repeated Measures and Split-Plot Designs Gilda P. Pareja source 5
SUGI 1990 Performance of Multiple Comparisons in Repeated Measures Designs under Nonsphericity Steven F. Thomson source 6
SUGI 1989 Analysis of a Repeated Measures Experiment with Missing Data Richard R. Allen source 5
SUGI 1989 Most Creative Use of the Software-Monochrome Leslie Worf source 116
SUGI 1989 Multivariate Models for the Analysis of Crossover Experiments Vernon M. Chinchilli,
Ronald K. Elswick		 source 5
SUGI 1988 Logit Models for Ordered Categorical Response Data Alan Agresti source 9
SUGI 1988 Repeated Measures Analysis with the SAS System Ramon C. Littell,
Jane Pendergast		 source 7
SUGI 1988 The Analysis of Covariance for Split-Unit and Repeated-Measures Experiments Using the GLM Procedure (II) W.T. Federer,
Michael P. Meredith,
Nancy J. Miles-McDermott		 source 6
SUGI 1987 Strategies for Repeated Measures Analysis of Variance Phil Spector source 4
SUGI 1986 A Macro for Conditional Ordinary Least Squares and Weighted Least Squares Analysis of Repeated Measures Data Margaret Burchinal source 6
SUGI 1986 Inference from the Incomplete Longitudinal Design: A Collection of SAS Macros James Rochon source 6
SUGI 1985 Repeated Measures in Nonlinear Models Ronald W. Helms,
Keith E. Muller		 source 5
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SUGI 1984 Computing for Unbalanced Repeated Measures Experiments Kenneth N. Berk source 7
SUGI 1984 Power Analysis for Multivariate Linear Models: New Results and SAS Software Make It Practical Keith E. Muller,
Bercedis L. Peterson		 source 6
SUGI 1984 PROC GLM-Rearrangement of Output Karen L. Bourn source 6
SUGI 1984 Repeated Measures Analysis in PROC GLM Phil Spector source 10
SUGI 1984 Some Preliminary Tests in Repeated Measures Design M.F. Huque,
Harji I. Patel,
T. Roy		 source 6
SUGI 1984 The Use of CATMOD for Repeated Measurement Analysis of Categorical Data Gary G. Koch,
William M. Stanish		 source 10
SUGI 1983 Analyzing Analysis of Covariance Models in Repeated Measures Designs Using SAS James E. Laughlin,
James S. Roberts		 source 4
SUGI 1983 Analyzing Latin Square Designs via SAS James E. Laughlin,
James S. Roberts		 source 4
SUGI 1983 Practical Methods for Multiple Comparisons in MANOVA Keith E. Muller source 4
SUGI 1983 SAS Macros for F-test Power Computations in Balanced Experimental Designs Andrew J. L. Cary source
SUGI 1983 The SAS Macros for Non parametric Analysis of Repeated Measures Designs Melvin Moeschberger,
P. K. Tandon		 source
SUGI 1983 Univariate and Multivariate Repeated Measures Analysis Through PROCs REG, GLM, and MATRIX Robert S. Barcikowski,
Randall R. Robey		 source 6
SUGI 1982 Repeated Measures ANOVA: The Multivariate Approach S. Paul Wright source 4
SUGI 1982 SAS MACRO "REP2 "for Unweighted Means Analysis of Repeated Measures Robert V. Zupkis source 8
SUGI 1982 SAS Procedures for ANOVA or Repeated Measures Designs William G. Jackson Jr.,
Richard C. McNee,
Carolyn J. Oakley		 source 2
SUGI 1982 SPSS MANOVA and BMDP4V for SAS GLM Users Kenneth N. Berk source 5
SUGI 1982 The Evaluation of Federal Programs in Education Garrett K. Mandeville source
SUGI 1982 Using SAS for Estimation and Hypothesis Testing in an Unbalanced Repeated Measure Design Kenneth L. Koonce,
Charles J. Monlezun,
David D. Morris		 source 4
SUGI 1981 Data Management Problems with a Large Medical Survey Henry A. Anderson,
Wm. Ford Calhoun,
Douglas Dorph,
James Holt		 source
SUGI 1980 Analysis of Repeated Measures Experiments: One- and Two-way Classifications Louis Bonus,
Harji I. Patel		 source 6
SUGI 1980 Recent Developments in BMDP of Special Interest to SAS Users James W. Frane source 8
SUGI 1979 Coding Subjects for Analyzing Unbalanced Repeated Measures Designs Using SAS Jerome R. Busemeyer,
James E. Laughlin		 source 2
SUGI 1978 Repeated Measures in SAS John A. Courtright source 5

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